SPATIAL UNIT FOR VISUAL ARTS AND LEARNING by Milica Jovanov

“…The sample was convenient, as the research was exploratory in nature and conducted using a descriptive method. Data collection utilized an interviewing technique—specifically, a semi-structured interview with children and educators. …”
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Semantics of visual models in space research by V. P. Savinykh, S. G. Gospodinov, S. A. Kudzh, V. Ya. Tsvetkov, I. P. Deshko

“…This allows for information to be transferred from different visual models to a synthetic resulting visual model.Methods. …”
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Research Advancements in Food Satiety and Its Testing Methods by YAO Mengli, HAN Xiaofeng, WANG Ruoyong, HAN Xiaowei, HAN Zhong, ZENG Xin’an, HUANG Jingmei, LIU Yifeng, YUAN Peng, LIU Jia, DUAN Shenglin

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Enhancement Infrared-Visible Image Fusion Using the Integration of Stationary Wavelet Transform and Fuzzy Histogram Equalization by Rusul Basheer Khazal, Nada Jasim Habeeb

“…In this paper, a novel image fusion method has been proposed to enhance visible-infrared image fusion using the integration of stationary wavelet transform and fuzzy histogram equalization. …”
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Implementation of Decision Support System with Data Mining Methods in the Quality Control Process of the Automotive Sector by Hikmet Canlı, Sinan Toklu

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Visual Representations of Happiness in Portuguese Adolescents by Teresa Freire, Andreia Ramos, Beatriz Raposo, Jenna Hartel

“…Methods: Applying the ‘draw-and-write’ technique, Portuguese adolescents were asked to ‘Draw happiness’, generating a visual data set of 330 drawings, coined hSquares. …”
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Review of malware detection and classification visualization techniques by Jinwei WANG, Zhengjia CHEN, Xue XIE, Xiangyang LUO, Bin MA

“…With the rapid advancement of technology, network security faces a significant challenge due to the proliferation of malicious software and its variants.These malicious software use various technical tactics to deceive or bypass traditional detection methods, rendering conventional non-visual detection techniques inadequate.In recent years, data visualization has gained considerable attention in the academic community as a powerful approach for detecting and classifying malicious software.By visually representing the key features of malicious software, these methods greatly enhance the accuracy of malware detection and classification, opening up extensive research opportunities in the field of cyber security.An overview of traditional non-visual detection techniques and visualization-based methods were provided in the realm of malicious software detection.Traditional non-visual approaches for malicious software detection, including static analysis, dynamic analysis, and hybrid techniques, were introduced.Subsequently, a comprehensive survey and evaluation of prominent contemporary visualization-based methods for detecting malicious software were undertaken.This primarily encompasses encompassed the integration of visualization with machine learning and visualization combined with deep learning, each of which exhibits distinct advantages and characteristics within the domain of malware detection and classification.Consequently, the holistic consideration of several factors, such as dataset size, computational resources, time constraints, model accuracy, and implementation complexity, is necessary for the selection of detection and classification methods.In conclusion, the challenges currently faced by detection technologies are summarized, and a forward-looking perspective on future research directions in the field is provided.…”
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HOLOGRAPHIC VISUALIZATION OF CYLINDRICAL PIEZOCERAMIC TRANSDUCERS VIBRATIONS by R. Vasiliauskas, K. Ragulskis, L. Patašien, A. Fedaravičius

“…The experimental investigation of precision vibrosystems by means of 3D holographic visualization enables one to obtain appreciably larger amount of information about the vibrating surface in comparison with traditional methods. …”
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Bibliometric analysis and visualization of online education in sports by Tong Zhou

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Visualization of Modern Political Space: Research Priorities by M. G. Goguadze

“…In modern humanitarian studies and research in a number of social sciences, interpretation of visual data is often used. However, in some cases, it is able to make a negative adjustment in the methodology and research methods, which is a consequence of the terminological and theoretical underdevelopment of the theory of visuality itself, including within the framework of political science. …”
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APAV: An advanced pangenome analysis and visualization toolkit. by Xiaorui Dong, Du Jiao, Hongzhang Xue, Shiyu Fan, Chaochun Wei

“…However, the current methods for gene PAV analysis are insensitive to detect small but valuable mutations within gene regions, and they overlook variations in intergenic regions. …”
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Automated attendance management with RFID and geospatial visualization by Jilbert C. Bati-On, Kyle P. Kuizon, Krischel Ann Y. Catulpos, Johnloyd B. Bonghanoy, Jose Jr. Costillas Agoylo

“…Methods: The system was developed using the Agile software development methodology to ensure iterative improvements based on user feedback. …”
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Closed-Eye Visualizations in the Setting of Hyponatremia by Travis Peck, Christopher Mercogliano, Eugene York

“…Methods. Retrospective case report of a patient with closed-eye visualizations secondary to hyponatremia. …”
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Visual Electrodiagnostic Testing in Birdshot Chorioretinopathy by Radouil Tzekov, Brian Madow

“…We performed a systematic search of the literature focused on visual electrophysiology studies, including electroretinography (ERG), electrooculography (EOG), and visual evoked potentials (VEP), used to monitor the progression of BSCR and estimate treatment efficacy. …”
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Visual Subfield Progression in Glaucoma Subtypes by Wei-Wen Su, Shian-Sen Hsieh, Shih-Tsung Cheng, Cheng-Wen Su, Wei-Chi Wu, Henry Shen-Lih Chen

“…Methods. The raw data of the 30-2 Humphrey Field Analyzer from glaucoma patients with definite visual field progression were processed with pointwise linear regression (PLR) analysis. …”
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An Assessment of the Use of Visual Odometry in Localization by İ. Yakar, R. A. Kucak, S. Bilgi

“…In this aspect, visual odometry is one of the mostly used methods. …”
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Estimation of loneliness in students with visual impairments by Stanimirović Dragana V., Jablan Branka Đ., Stojković Slađana S., Stamanković Miroslav R.

“…Methods. A comparative research was conducted on a sample consisting of 36 visually impaired students and 101 students without visual impairments (control group). …”
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Visual hallucinosis in patients with Parkinson’s disease by A. Yu. Nikitina, N. V. Melnikova, L. K. Moshetova, O. S. Levin

“…To determine the effect of visual impairment on the formation of visual hallucinosis.Materials and methods. …”
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Visual comparative analytics of multimodal transportation by Zikun Deng, Haoming Chen, Qing-Long Lu, Zicheng Su, Tobias Schreck, Jie Bao, Yi Cai

“…We also propose TraDyssey, a visual analytics system that enables analysts and planners to evaluate and compare multiple modes by exploring acquired massive multimodal trips. …”
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16QAM Blind Equalization via Maximum Entropy Density Approximation Technique and Nonlinear Lagrange Multipliers by R. Mauda, M. Pinchas

“…Recently a new blind equalization method was proposed for the 16QAM constellation input inspired by the maximum entropy density approximation technique with improved equalization performance compared to the maximum entropy approach, Godard’s algorithm, and others. …”
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